This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

• Lead the analytics lifecycle by supervising, developing, and coaching a high-performing team to deliver actionable insights
• Apply advanced analytic techniques to create causal inferences, predictions, and recommendations for business process improvements
• Survey and manage varied data sources including relational databases, Hadoop, flat files, and external sources for analytic relevance
• Execute data profiling, pre-processing, and exploratory analysis to ensure robust data preparation and modeling
• Formulate problems, analyze requirements, plan projects, and select appropriate algorithms for execution
• Interpret model results, communicate findings, and present recommendations to audiences with varying analytical backgrounds
• Manage follow-ups and execution of suggested actions to ensure measurable improvements

• Office environment
• Travel as required

• Bachelor’s degree in computer science, mathematics, statistics, operations research or other quantitatively-focused field

• 6+ years statistical analysis
• 3+ years business analysis
• 3+ years SQL, R, or SAS programming
• 2+ years internal client relationship management
• Experience with R and/or Python, including relevant packages, supporting advanced analytics
• Experience with relational databases using SQL and data stored in complex schemas
• Some experience in telecommunications or two other consumer-based industries

• Ability to read, write, speak and understand English
• Strong logical and analytical skills
• Solid theoretical foundation in modeling processes with various algorithms
• Proficient in data profiling, distributions, confidence intervals, hypothesis testing
• Skilled in holdout testing and cross-validation
  Advanced data pre-processing and exploratory data analysis
• Regression and classification using linear models, GLMs, and tree-based methods
• Interpretation of model results including causality and multicollinearity
• Effective synthesis and presentation skills
• Basic understanding of data architecture, data warehouse, and data marts

• Bachelor’s degree in computer science, mathematics, statistics, operations research or other quantitatively-focused field

• 2+ years management or leadership experience

• Experience with Teradata SQL, UDFs, interpreting explain plans, performance tuning, and database catalog
• Operations-research expertise, especially in large labor operations such as field ops, technical support, and sales
• Background with Cable systems and operations
• Experience with Hadoop, especially HIVE and Spark
• Familiarity with SAS, SPSS, Alteryx, Linux
• Knowledge of text analysis and text mining
• Familiarity with open-source ecosystems for R, Python, and Hadoop

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BDA526 2026-76069 2026

Here, our employees don’t just have jobs, they're building careers. That’s why we offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life.



A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.

This job posting will remain open until 2026-07-26 04:38 PM (UTC) and will be extended if necessary.

The base pay for this position generally is between $98,900.00 and $175,300.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses.

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